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Contextual transformer for brain stroke segmentation in MRI
DOI:10.1016/j.compeleceng.2025.110795.png)
Abstract
En 中文
• Brain stroke segmentation suffers from several challenges due to the complexity of brain anatomy and lesion variability. • Focus In and Generalize Out (FIGO) framework is a novel brain stroke segmentation that efficiently blends global and local features. • Experimental studies using the ATLAS v2.0 dataset demonstrate a remarkable improvement in segmentation accuracy. • The proposed framework enables better observation of strokes with various shapes, sizes, and locations.
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